Andrew Bennett

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 38

Top Topics

Markov Decision Processes

Reinforcement Learning

Continuous Action

Meteorological Data

Top Venues

Environ. Model. Softw.

Publications

Wei Yan, Andrew Bennett, Alexis Cobo, Maya Israel
A Cross-Case Analysis of Experienced Educators in CS Inclusion. SIGCSE (2) (2024)
Miruna Oprescu, Andrew Bennett, Nathan Kallus
Low-rank MDPs with Continuous Action Spaces. AISTATS (2024)
Andrew Bennett, Nathan Kallus
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes. Oper. Res. 72 (3) (2024)
Andrew Bennett, Nathan Kallus, Miruna Oprescu, Wen Sun, Kaiwen Wang
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes. CoRR (2024)
Kashif Rasul, Andrew Bennett, Pablo Vicente, Umang Gupta, Hena Ghonia, Anderson Schneider, Yuriy Nevmyvaka
VQ-TR: Vector Quantized Attention for Time Series Forecasting. ICLR (2024)
Iman Maghami, Ashley E. Van Beusekom, Lauren E. Hay, Zhiyu Li, Andrew Bennett, Youngdon Choi, Bart Nijssen, Shaowen Wang, David Tarboton, Jonathan L. Goodall
Building cyberinfrastructure for the reuse and reproducibility of complex hydrologic modeling studies. Environ. Model. Softw. 164 (2023)
Andrew Bennett, Dipendra Misra, Nathan Kallus
Provable Safe Reinforcement Learning with Binary Feedback. AISTATS (2023)
Andrew Bennett, Nathan Kallus, Miruna Oprescu
Low-Rank MDPs with Continuous Action Spaces. CoRR (2023)
Holger R. Maier, Feifei Zheng, Hoshin V. Gupta, Junyi Chen, Juliane Mai, Dragan A. Savic, Ralf Loritz, Wenyan Wu, Danlu Guo, Andrew Bennett, Anthony J. Jakeman, Saman Razavi, Jianshi Zhao
On how data are partitioned in model development and evaluation: Confronting the elephant in the room to enhance model generalization. Environ. Model. Softw. 167 (2023)
Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara
Convergence Guarantees without Identification or Closedness. COLT (2023)
Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara
Inference on Strongly Identified Functionals of Weakly Identified Functions. COLT (2023)
Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara
Source Condition Double Robust Inference on Functionals of Inverse Problems. CoRR (2023)
Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara
Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness. CoRR (2023)
Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs. NeurIPS (2023)
Andrew Bennett, Dipendra Misra, Nathan Kallus
Provable Safe Reinforcement Learning with Binary Feedback. CoRR (2022)
Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs. CoRR (2022)
Young-Don Choi, Jonathan L. Goodall, Jeffrey M. Sadler, Anthony M. Castronova, Andrew Bennett, Zhiyu Li, Bart Nijssen, Shaowen Wang, Martyn Clark, Daniel P. Ames, Jeffery S. Horsburgh, Hong Yi, Christina Bandaragoda, Martin Seul, Richard P. Hooper, David G. Tarboton
Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces. Environ. Model. Softw. 135 (2021)
Andrew Bennett, Dipendra Misra, Nga Than
Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data. CoRR (2021)
Andrew Bennett, Nathan Kallus
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes. CoRR (2021)
Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. AISTATS (2021)
Andrew Bennett, Nathan Kallus
The Variational Method of Moments. CoRR (2020)
Andrew Bennett, Nathan Kallus
Efficient Policy Learning from Surrogate-Loss Classification Reductions. CoRR (2020)
Andrew Bennett, Joseph Hamman, Bart Nijssen
MetSim: A Python package for estimation and disaggregation of meteorological data. J. Open Source Softw. 5 (47) (2020)
Andrew Bennett, Nathan Kallus
Efficient Policy Learning from Surrogate-Loss Classification Reductions. ICML (2020)
Andrew Bennett, Nathan Kallus, Lihong Li, Ali Mousavi
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. CoRR (2020)
Andrew Bennett, Nathan Kallus
Policy Evaluation with Latent Confounders via Optimal Balance. CoRR (2019)
Andrew Bennett, Nathan Kallus, Tobias Schnabel
Deep Generalized Method of Moments for Instrumental Variable Analysis. CoRR (2019)
Andrew Bennett, Nathan Kallus
Policy Evaluation with Latent Confounders via Optimal Balance. NeurIPS (2019)
Philip A. Browne, Patricia de Rosnay, Hao Zuo, Andrew Bennett, Andrew Dawson
Weakly Coupled Ocean-Atmosphere Data Assimilation in the ECMWF NWP System. Remote. Sens. 11 (3) (2019)
Andrew Bennett, Nathan Kallus, Tobias Schnabel
Deep Generalized Method of Moments for Instrumental Variable Analysis. NeurIPS (2019)
Dipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. CoRR (2018)
Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. Robotics: Science and Systems (2018)
Dipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. EMNLP (2018)
Valts Blukis, Nataly Brukhim, Andrew Bennett, Ross A. Knepper, Yoav Artzi
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. CoRR (2018)
Steven Xu, Andrew Bennett, Doris Hoogeveen, Jey Han Lau, Timothy Baldwin
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata. NUT@EMNLP (2018)
Claudia Yan, Dipendra Kumar Misra, Andrew Bennett, Aaron Walsman, Yonatan Bisk, Yoav Artzi
CHALET: Cornell House Agent Learning Environment. CoRR (2018)
Doris Hoogeveen, Andrew Bennett, Yitong Li, Karin M. Verspoor, Timothy Baldwin
Detecting Misflagged Duplicate Questions in Community Question-Answering Archives. ICWSM (2018)
Andrew Bennett, Timothy Baldwin, Jey Han Lau, Diana McCarthy, Francis Bond
LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning. ACL (1) (2016)
Andrew Bennett, Matthew J. D'Orazio, Christopher Peter Lueg
Using Your Fingers to Think: Enabling Subjective Routing with a Rubber Band Metaphor. Int. J. Softw. Eng. Knowl. Eng. 25 (2) (2015)
Andrew Bennett, Victoria Preston, Jay Woo, Shivali Chandra, Devynn Diggins, Riley Chapman, Zhecan Wang, Matthew Rush, Liani Lye, Mindy Tieu, Silas Hughes, Iain Kerr, Adela Wee
Autonomous vehicles for remote sample collection in difficult conditions: Enabling remote sample collection by marine biologists. TePRA (2015)
Andrew Bennett, Christopher Lueg
Using Your Fingers to Think: Interactive Exploration of Subjective Constraints. VINCI (2014)
Arjun Iyer, Luis Rayas, Andrew Bennett
Formation control for cooperative localization of MAV swarms (demonstration). AAMAS (2013)
Andrew Bennett, Rekha Natarajan
Work in progress: Choose your own homework. FIE (2012)
Andrew Bennett, Todd Moore
Work in progress: What calculus do students learn after calculus? FIE (2012)
Adrian Novischi, Muirathnam Srikanth, Andrew Bennett
LCC-WSD: System Description for English Coarse Grained All Words Task at SemEval 2007. SemEval@ACL (2007)
Andrew Bennett, Derek R. Magee
Learning Sets of Sub-Models for Spatio-Temporal Prediction. SGAI Conf. (2007)
Andrew Bennett, Joanna Briggs, Martyn Clark
High school computing clubs: a pilot study. ITiCSE (2006)